Main module structure. حسب Dunlu Lu (19964225)

"…Additionally, MAR-YOLOv9 demonstrated significant advantages in detecting complex agricultural images, providing an efficient, lightweight, and adaptable solution for object detection tasks in the agricultural field. …"

Counting results on MTDC-UAV dataset. حسب Dunlu Lu (19964225)

"…Additionally, MAR-YOLOv9 demonstrated significant advantages in detecting complex agricultural images, providing an efficient, lightweight, and adaptable solution for object detection tasks in the agricultural field. …"

Quantitative results on DRPD dataset. حسب Dunlu Lu (19964225)

"…Additionally, MAR-YOLOv9 demonstrated significant advantages in detecting complex agricultural images, providing an efficient, lightweight, and adaptable solution for object detection tasks in the agricultural field. …"

Architecture of MAR-YOLOv9. حسب Dunlu Lu (19964225)

"…Additionally, MAR-YOLOv9 demonstrated significant advantages in detecting complex agricultural images, providing an efficient, lightweight, and adaptable solution for object detection tasks in the agricultural field. …"

Quantitative results on MTDC-UAV dataset. حسب Dunlu Lu (19964225)

"…Additionally, MAR-YOLOv9 demonstrated significant advantages in detecting complex agricultural images, providing an efficient, lightweight, and adaptable solution for object detection tasks in the agricultural field. …"

Counting results on WEDU dataset. حسب Dunlu Lu (19964225)

"…Additionally, MAR-YOLOv9 demonstrated significant advantages in detecting complex agricultural images, providing an efficient, lightweight, and adaptable solution for object detection tasks in the agricultural field. …"

Example images from four plant datasets. حسب Dunlu Lu (19964225)

"…Additionally, MAR-YOLOv9 demonstrated significant advantages in detecting complex agricultural images, providing an efficient, lightweight, and adaptable solution for object detection tasks in the agricultural field. …"

Counting results on RFRB dataset. حسب Dunlu Lu (19964225)

"…Additionally, MAR-YOLOv9 demonstrated significant advantages in detecting complex agricultural images, providing an efficient, lightweight, and adaptable solution for object detection tasks in the agricultural field. …"

Detection visualization results on WEDU dataset. حسب Dunlu Lu (19964225)

"…Additionally, MAR-YOLOv9 demonstrated significant advantages in detecting complex agricultural images, providing an efficient, lightweight, and adaptable solution for object detection tasks in the agricultural field. …"

Cell proliferation of limbal stromal cells (LSCs) and aniridia limbal stromal cells (AN-LSCs) after 20-minute treatment with travoprost at concentrations ranging from 0.039 μg/mL t... حسب Shuailin Li (11907158)

<i>ADH7, FABP5, ALDH1A1, CRABP-2, PPARγ</i> and <i>VEGFA</i> mRNA and ADH7, FABP5, CRABP-2, PPARγ and VEGFA protein levels in limbal stromal cells (LSCs) and aniridia limbal stroma... حسب Shuailin Li (11907158)

"…Furthermore, 0.078 and 0.313 μg/mL travoprost treatment significantly decreased ADH7 protein levels in LSCs (p = 0.039; p < 0.001) and 0.313 μg/mL travoprost treatment significantly increased ADH7 protein levels in AN-LSCs, compared to their untreated controls (p = 0.039) <b>(B, C)</b>. …"

Raw images. حسب Dahae Lee (3125157)

"…PPD, Re, Rb1, and compound K enhanced PA-induced GC inhibition in 3T3-L1 cells, while PPD, Rg3, Rc, and Rh2 enhanced PA-induced GC inhibition in C2C12 cells. PA also significantly decreased the phospho-phosphoinositide 3-kinase, phospho-Akt, phospho- AMP-activated protein kinase α, and phospho-glycogen synthase kinase-3β levels as well as increased glycogen synthase, glucose-6-phosphatase, and phosphoenolpyruvate carboxykinase phosphorylation in all three cell lines, which were prevented by PPD. …"

Muscle fiber types in short-term disuse and short-term reloading model. حسب So Kuwakado (22177263)

"…BW: Body weight. Statistically significant difference between the two groups at p < 0.0167 is indicated throughout by (*).…"

Developmental change in 5-HT_1A binding in known cause of death controls (predischarge and postdischarge combined). حسب Hannah C. Kinney (10280975)

OVD-induced transient OHT in mice leads to RGC loss and astrocyte reactivity. حسب Weiran Huang (8934899)

"…<p>(A) OVD injections led to IOP increase, with values presented as means ± SD. IOP decreased 6 hours post-injection and by day 1 had returned to near baseline levels. …"

Focus group guide. حسب Judite Blanc (22559981)

"…A targeted investment of $30 billion could yield substantial improvements in healthcare, mental health services, and public safety—contributing to increased life expectancy, reduced mortality rates, and decreased violence.…"

Evaluation results. حسب Briya Tariq (19666901)

"…Evaluation metrics including signal-to-noise ratio (SNR), linearity of attenuation profiles, root mean square error (RMSE), and area under the curve (AUC) were employed to assess the energy and material-density images with and without metal inserts. Results show decreased metal artefacts and a better signal-to-noise ratio (up to 25%) with increased energy bins as compared to reference data. …"

Dataset with steel insert. حسب Briya Tariq (19666901)

"…Evaluation metrics including signal-to-noise ratio (SNR), linearity of attenuation profiles, root mean square error (RMSE), and area under the curve (AUC) were employed to assess the energy and material-density images with and without metal inserts. Results show decreased metal artefacts and a better signal-to-noise ratio (up to 25%) with increased energy bins as compared to reference data. …"

Reference dataset. حسب Briya Tariq (19666901)

"…Evaluation metrics including signal-to-noise ratio (SNR), linearity of attenuation profiles, root mean square error (RMSE), and area under the curve (AUC) were employed to assess the energy and material-density images with and without metal inserts. Results show decreased metal artefacts and a better signal-to-noise ratio (up to 25%) with increased energy bins as compared to reference data. …"

Dataset with aluminium insert. حسب Briya Tariq (19666901)

"…Evaluation metrics including signal-to-noise ratio (SNR), linearity of attenuation profiles, root mean square error (RMSE), and area under the curve (AUC) were employed to assess the energy and material-density images with and without metal inserts. Results show decreased metal artefacts and a better signal-to-noise ratio (up to 25%) with increased energy bins as compared to reference data. …"